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Power Allocation for Multiuser Cooperative Communication Networks Under Relay-Selection Degree Bounds

机译:中继选择度约束下的多用户协作通信网络功率分配

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摘要

This paper considers the joint power-allocation and relay-selection problems in multiuser cooperative communication networks, where one user can only seek a limited number of relays for cooperation. This relay-selection degree bound is of practical significance. The goal is to optimize the relay selection and power allocation in a distributed manner while respecting certain users' quality-of-service (QoS) requirements. This problem is challenging due to its combinatorial nature, even from a centralized perspective, let alone distributed algorithms (or protocols). For this joint optimization problem with inherent combinatorial nature, this paper resorts to a layering approach. Specifically, the optimal power allocation for a fixed but arbitrary relay-selection configuration is carried out in the physical layer while the relay selection is done in the media access control (MAC) layer. The general idea is to run distributed relay-selection schemes based on a time-reversible Markov chain over a distributed power-allocation algorithm in the physical layer. It turns out that these methods can approximately solve this joint power allocation and the relay-selection problem with a certain performance guarantee. More importantly, the resulting solution can be implemented in a distributed manner. Numerical results are also presented to demonstrate the performance of the algorithms.
机译:本文考虑了多用户协作通信网络中的联合功率分配和中继选择问题,其中一个用户只能寻求有限数量的中继进行协作。该中继选择度界限具有实际意义。目的是在满足某些用户的服务质量(QoS)要求的同时,以分布式方式优化中继选择和功率分配。由于其组合性质(即使从集中的角度来看,更不用说分布式算法(或协议)了),这个问题也是具有挑战性的。对于具有固有组合性质的联合优化问题,本文采用分层方法。具体而言,在物理层中执行针对固定但任意的中继选择配置的最佳功率分配,而在媒体访问控制(MAC)层中进行中继选择。总体思路是在物理层的分布式功率分配算法上基于时间可逆马尔可夫链运行分布式中继选择方案。事实证明,这些方法可以在一定的性能保证下大致解决这种联合功率分配和继电选择问题。更重要的是,可以以分布式方式来实现最终的解决方案。数值结果也被用来证明算法的性能。

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